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Field
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– derivatives, wave functions, linear algebra, differential equations, numerical optimization. Some background in solid-state physics, optics, electrical engineering, chemistry, and/or materials science
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, specifically methods that combine machine learning and optimization with physics-based simulation and/or physical constraints and translate these methods into impactful industrial applications. The position is
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activity and stochasticity). For example, localized dendritic activation underlies numerous computational functions across hierarchical levels, such as denoising (filtering), increased expressivity (tunable
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doctoral schools in the natural sciences and one in the humanities and social sciences as well as numerous smaller research training groups. Advising The consulting team of the Graduate Academy’s Service
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, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization of industrial high-temperature processes with potential for negative carbon emissions. Your tasks Setup
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, 100% funded PhD student position to fill starting around June 2026. Research is to be in the field of computational methods in nonlinear and large scale optimization / inverse problems or in novel
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the frame of the FNR-CORE supported project OPTMONITOR (Optimal Monitoring and Coupled Modeling for Climate-Driven Landslide Risk Detection) at the University of Luxembourg (Faculty of Science, Technology and
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optimal conditions for their successful doctoral degree and beyond. Doctoral researchers at GS SimTech: Have at least two supervisors from different subject areas Benefit from a second, external reviewer
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Description The PhD researcher will work on the Inventory-Routing Problem with Pickups and Deliveries (IRP-PD) under demand and supply uncertainty. The IRP-PD requires the joint optimization of inventory and
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
computational efficiency without compromising numerical accuracy. In particular, since HDG methods rely on high-order polynomial approximations, special attention will be given to optimizing quadrature strategies